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Zhigang Li, PhD
Assistant Professor of Biomedical Data Science


Dr. Li is interested in developing (statistical) modeling tools in the field of molecular epidemiology to analyze human microbiome and epigenetic changes in order to identify microbes and DNA methylation that mediate disease-leading causal pathways in children’s health research. He is also interested in joint modeling of quality of life and survival in palliative care research for which he was awarded an R03 grant from NIH. The modeling tools he uses include lasso-type regularization, SCAD regularization, mediation analysis, structural equation modeling, GEE, mixed models, Cox model, etc.